Flonomics

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.

PeopleCounter.app is a simple online people counter built to count visitors in real time, track occupancy, and export reports from any device. It is designed for fast setup with no app download, no hardware, and no complicated onboarding, open the tool on a phone, tablet, or computer, set a capacity limit if needed, and start counting entries and exits right away. It helps venues, events, retail spaces, clubs, schools, churches, buildings, and front-of-house teams keep an accurate live count of how many people are inside at any moment. Users can tap to count people in and out, monitor current occupancy, avoid going over capacity, and keep staff aligned during busy periods. PeopleCounter.app also supports multi-device counting, so more than one person can track attendance from different doors or areas while the count stays coordinated. For events, it works as an attendance tracker that helps teams monitor real-time capacity, track guest flow, and understand turnout.